{ "name": "meta-analysis.cz data API", "version": "1.0.0", "api_version": "1.0.0", "data_version": "1.0.0", "version_note": "version and api_version describe this INTERFACE. data_version describes the harmonised table, and is what croissant.json reports. They move independently.", "description": "Estimate-level datasets from meta-analyses in economics and the social sciences, with the hand-coded study characteristics collected for each paper.", "license": { "id": "CC-BY-4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "terms": "https://meta-analysis.cz/LICENSE", "applies_to": "everything on this site", "note": "Everything here is CC BY 4.0: the research datasets, their CSV and Parquet conversions, the harmonised table, the index, the codebooks, the documentation and the deposited PDFs. Free to use, adapt and redistribute, including commercially and including as training data for machine-learning models. The only condition is credit: cite the collection, and cite the paper whose dataset you used.", "machine_readable": true }, "cite_as": "Havranek, T. and Z. Irsova (2026). meta-analysis.cz: harmonised estimate-level data from meta-analyses in economics. Zenodo. https://doi.org/10.5281/zenodo.21773678", "doi": "10.5281/zenodo.21789702", "doi_url": "https://doi.org/10.5281/zenodo.21789702", "concept_doi": "10.5281/zenodo.21773678", "concept_doi_url": "https://doi.org/10.5281/zenodo.21773678", "doi_note": "Cite the CONCEPT DOI in prose - it always resolves to the newest version. Cite the version DOI in a replication package, where you need the exact files.", "endpoints": { "datasets": "https://meta-analysis.cz/api/v1/datasets.json", "codebook": "https://meta-analysis.cz/api/v1/codebooks/{id}.json", "datapackage": "https://meta-analysis.cz/api/v1/datapackage.json", "croissant": "https://meta-analysis.cz/api/v1/croissant.json", "harmonised_parquet": "https://meta-analysis.cz/data/v1/estimates_harmonised.parquet", "harmonised_csv": "https://meta-analysis.cz/data/v1/estimates_harmonised.csv" }, "counts": { "datasets": 44, "rows_in_source_files": 65349, "estimates_in_analysis_samples": 53960, "estimates_in_harmonised_table": 48355, "literatures_in_harmonised_table": 40, "in_harmonised_table": 40, "counts_explained": "rows_in_source_files counts every row of the 44 converted files. estimates_in_analysis_samples applies each paper's own filters and is what the catalogue table shows. estimates_in_harmonised_table additionally drops literatures that duplicate another exactly, overlap one already included, or lack per-estimate precision." }, "harmonised_table": { "version": "1.0.0", "status": "stable", "n_rows": 48355, "n_literatures": 40, "columns": [ "dataset", "study_id", "estimate_id", "study_label", "effect", "se", "t_stat", "precision", "n_obs", "df", "pcc", "se_pcc", "pub_year", "citations", "impact_factor", "published", "top_journal", "country", "country_id", "is_usa", "is_europe", "data_start", "data_end", "data_midyear", "is_panel", "is_cross_section", "is_time_series", "freq_annual", "freq_quarterly", "freq_monthly", "method_ols", "method_iv", "method_gmm", "method_ml", "method_fe", "horizon", "effect_units", "source_file", "effect_col", "se_col", "se_is_derived" ], "parquet": "https://meta-analysis.cz/data/v1/estimates_harmonised.parquet", "csv": "https://meta-analysis.cz/data/v1/estimates_harmonised.csv", "notes": [ "One row per harmonised OBSERVATION, pooled across literatures. Some literatures contribute several horizon-specific observations per underlying estimate: price_puzzle reshapes wide impulse-response columns into one row per horizon, and house_prices ships ~7 horizons per impulse response. Do not treat rows as independent estimates without checking `horizon`.", "Raw effect levels are not comparable across literatures; see effect_units. Analyse within each literature. Comparing across them needs an explicitly standardised measure, and relative changes are meaningful only where the baseline is safely away from zero.", "Moderator columns are populated only where the source dataset recorded them; check for nulls.", "source_file, effect_col and se_col identify the origin of every value, so any row can be traced to the published dataset and checked.", "se_is_derived marks rows whose standard error was reconstructed rather than read directly.", "Column mappings were resolved arithmetically (effect/se must reproduce the reported t-statistic) and, where that was not decisive, taken from the paper's own replication code.", "The harmonisation may still be revised. For a reference that does not move, cite the archived deposit https://doi.org/10.5281/zenodo.21773678 , the concept DOI, which always resolves to the newest archived version and carries checksums." ], "excluded": { "fdi": "no per-estimate precision exists: the file has no standard error, t-statistic, weight or inverse-SE column, so SE-based synthesis is impossible", "hedge": "duplicate of alphas: identical estimates, row for row", "lags": "outcome is the transmission lag (mon_bot, months to the price trough); it has no sampling standard error, so it cannot enter an effect/SE table", "substitution": "duplicate of eis: identical estimates, row for row" } }, "counts_note": "`datasets` contains exactly counts.datasets entries, all of them real datasets. Inputs that were examined and excluded live in `excluded_resources`.", "excluded_resources": [ { "id": "ews", "reason": "country-level crisis database, not extracted estimates", "paper": { "title": null, "url": "https://meta-analysis.cz/ews/" }, "excluded_because": "examined and not an estimate-level dataset" }, { "id": "maive", "reason": "Bartos et al. cross-field archive (external), not a Havranek literature", "paper": { "title": "Meta-Analysis Instrumental Variable Estimator", "url": "https://meta-analysis.cz/maive/" }, "excluded_because": "examined and not an estimate-level dataset" }, { "id": "pcc", "reason": "Google Scholar search listing, not extracted estimates", "paper": { "title": "Meta-analyses of partial correlations are biased: Detection and solutions", "url": "https://meta-analysis.cz/pcc/" }, "excluded_because": "examined and not an estimate-level dataset" } ], "datasets": [ { "id": "activism", "paper": { "title": "Does Shareholder Activism Create Value? A Meta-Analysis", "page_title": "Does Shareholder Activism Create Value? A Meta-Analysis", "literature": "Shareholder Activism and Firm Value", "authors": [ "Josef Bajzik", "Tomas Havranek", "Zuzana Irsova", "Jiri Novak" ], "year": 2025, "journal": "Corporate Governance: An International Review", "doi": "https://doi.org/10.1111/corg.12637", "url": "https://meta-analysis.cz/activism/" }, "description": "Meta-analysis of 1,973 estimates from 67 studies finds shareholder activism raises stock prices by 0% to 1.5% after correcting for publication bias.", "n_estimates": 1974, "n_variables": 159, "n_estimates_in_literature": 1254, "source_file": "https://meta-analysis.cz/activism/activism.xlsx", "source_member": null, "source_sheet": "Data", "files": { "parquet": "https://meta-analysis.cz/data/v1/activism/activism.parquet", "csv": "https://meta-analysis.cz/data/v1/activism/activism.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/activism.json" }, "core_columns": { "effect": "Estimate rescaled by 100.0 x Multiplicator to obtain estimates in points (number)", "standard_error": "derived as |effect/t-stats|", "standard_error_note": "derived, not read from a column", "evidence": "paper's replication code" }, "effect_units": "percent", "direction_note": "Reconstructed on a comparable scale; the raw Estimate column mixes percent and decimal across studies.", "column_mapping_verified_by": "activism.R sets data$elasticity <- data$Estim_adj and data$se_all <- data$Se_adj, having first deleted the raw Estimate and se columns; the second header row of the published workbook marks them 'Delete' for the same reason. Estim_adj = Estimate*100*Multiplicator, and the Multiplicator takes only the values 0.01 and 1, i.e. the raw column MIXES percent and decimal scales across studies. Reconstructing it gives a median of 0.489, matching the paper's Estim_adj.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1973, "n_rows_in_harmonised_table": 1254, "note": "-719 rows against the abstract's count, and correctly so: the paper's own replication code restricts to an analysis subset, reproduced here. See column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.2143, "audit_status": "domain_reviewed" }, { "id": "alphas", "paper": { "title": "What Matters in Explaining the Variation in Hedge Fund Performance?", "page_title": "What Matters in Explaining the Variation in Hedge Fund Performance? A Meta-Analysis", "literature": "Heterogeneity in Hedge Fund Performance", "authors": [ "Fan Yang", "Tomas Havranek", "Zuzana Irsova", "Jiri Novak" ], "year": 2026, "journal": null, "doi": null, "url": "https://meta-analysis.cz/alphas/" }, "description": "Meta-analysis of 1,019 estimates from 74 studies identifies which factors explain the variation in hedge fund performance; net performance is near zero.", "n_estimates": 1019, "n_variables": 82, "n_estimates_in_literature": 1019, "source_file": "https://meta-analysis.cz/alphas/alphas.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/alphas/alphas.parquet", "csv": "https://meta-analysis.cz/data/v1/alphas/alphas.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/alphas.json" }, "core_columns": { "effect": "alpha", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "percent", "direction_note": "Monthly return, not annualised.", "column_mapping_verified_by": "The paper's own replication code regresses alpha_w/se_w @ alphas.do:207 -- a winsorised copy of this pair, built inside the script from the raw columns. The published file carries only the raw columns, so they are what the harmonised table can offer. Found mechanically by 93_codegrep.py.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1019, "n_rows_in_harmonised_table": 1019, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0777, "audit_status": "code_traced" }, { "id": "armington", "paper": { "title": "Estimating the Armington Elasticity: The Importance of Study Design and Publication Bias", "page_title": "A Meta-Analysis of the Trade Cost Elasticity", "literature": "Armington Elasticity", "authors": [ "Josef Bajzik", "Tomas Havranek", "Zuzana Irsova", "Jiri Schwarz" ], "year": 2020, "journal": "Journal of International Economics", "doi": "https://doi.org/10.1016/j.jinteco.2020.103383", "url": "https://meta-analysis.cz/armington/" }, "description": "Meta-analysis of 3,524 estimates finds the Armington trade elasticity is 2.5-5.1 after correcting for publication bias.", "n_estimates": 3524, "n_variables": 76, "n_estimates_in_literature": 3524, "source_file": "https://meta-analysis.cz/armington/armington.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/armington/armington.parquet", "csv": "https://meta-analysis.cz/data/v1/armington/armington.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/armington.json" }, "core_columns": { "effect": "armel", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": null, "column_mapping_verified_by": "armington.do lines 94-96 run the headline FAT-PET on the WINSORISED pair: `ivreg2 armel_w se_w, cluster(idstudy idcountry)`. The paper's equation (1) is sigma_ij = sigma_0 + delta*SE(sigma_ij) + mu_ij, and it states it winsorises at the 2.5% level (mean 1.53 -> 1.45, which armel/armel_w reproduce: 1.531 -> 1.454).", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 3524, "n_rows_in_harmonised_table": 3524, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.1474, "audit_status": "code_traced" }, { "id": "beauty", "paper": { "title": "Meta-Analysis of Field Studies on Beauty and Professional Success", "page_title": "Beauty and Professional Success: A Meta-Analysis", "literature": "Beauty and Professional Success", "authors": [ "Zuzana Irsova", "Tomas Havranek", "Kseniya Bortnikova", "František Bartoš" ], "year": 2025, "journal": null, "doi": null, "url": "https://meta-analysis.cz/beauty/" }, "description": "A meta-analysis of 1,159 estimates: the beauty premium in earnings and productivity is small once publication bias and cognitive ability are addressed.", "n_estimates": 1159, "n_variables": 56, "n_estimates_in_literature": 1159, "source_file": "https://meta-analysis.cz/beauty/beauty.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/beauty/beauty.parquet", "csv": "https://meta-analysis.cz/data/v1/beauty/beauty.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/beauty.json" }, "core_columns": { "effect": "premium", "standard_error": "se_premium", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "percent", "direction_note": null, "column_mapping_verified_by": "beauty.do line 390 runs the headline FAT-PET `ivreg2 premium_w se_premium_w, cluster(study_id)`, where premium_w/se_premium_w are winsorised copies built at line 69 by `foreach v in premium se_premium premium_sd se_premium_sd { winsor2 `v', suffix(_w) cuts(1 99) }`. The site's beauty.xlsx contains premium and se_premium but NOT premium_w/se_premium_w, so the raw pair is the only thing the source offers.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1159, "n_rows_in_harmonised_table": 1159, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.5126, "audit_status": "code_traced" }, { "id": "bma", "paper": { "title": "Determinants of Horizontal Spillovers from FDI: Evidence from a Large Meta-Analysis", "page_title": "A Meta-Analysis of Horizontal Spillovers from FDI", "literature": "Horizontal Spillovers from FDI", "authors": [ "Zuzana Irsova", "Tomas Havranek" ], "year": 2013, "journal": "World Development", "doi": "https://doi.org/10.1016/j.worlddev.2012.07.001", "url": "https://meta-analysis.cz/bma/" }, "description": "Meta-analysis of 1205 estimates finds horizontal FDI spillovers average zero, shaped by technology gap and ownership structure.", "n_estimates": 4147, "n_variables": 101, "n_estimates_in_literature": 1205, "source_file": "https://meta-analysis.cz/bma/determinants.xls", "source_member": null, "source_sheet": "stata", "files": { "parquet": "https://meta-analysis.cz/data/v1/bma/bma.parquet", "csv": "https://meta-analysis.cz/data/v1/bma/bma.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/bma.json" }, "core_columns": { "effect": "e", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": null, "column_mapping_verified_by": "determinants.do runs 'drop if aux==1' then 'drop if horiz!=1'. Applying exactly those two filters yields 1,205 usable estimates, matching the abstract exactly.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1205, "n_rows_in_harmonised_table": 1205, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": "spillovers", "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0716, "audit_status": "domain_reviewed", "note": "HORIZONTAL spillovers. Shares the FDI spillovers database with the 'spillovers' project, which takes the vertical subset. The two are complementary, not duplicates." }, { "id": "border", "paper": { "title": "Do Borders Really Slash Trade? A Meta-Analysis", "page_title": "Do Borders Really Slash Trade? A Meta-Analysis", "literature": "National Borders and Trade", "authors": [ "Tomas Havranek", "Zuzana Irsova" ], "year": 2017, "journal": "IMF Economic Review", "doi": "https://doi.org/10.1057/s41308-016-0001-5", "url": "https://meta-analysis.cz/border/" }, "description": "Meta-analysis of 1,271 estimates from 61 studies finds methodological choices shrink the true border effect on trade.", "n_estimates": 1271, "n_variables": 61, "n_estimates_in_literature": 1271, "source_file": "https://meta-analysis.cz/border/border.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/border/border.parquet", "csv": "https://meta-analysis.cz/data/v1/border/border.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/border.json" }, "core_columns": { "effect": "b", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "semi-elasticity", "direction_note": "Raw coefficient on the border dummy in a log-linear gravity model; the paper's headline reduction is a transform of it, not the raw value.", "column_mapping_verified_by": "The paper's own replication code regresses exactly this pair at border.do:108. Found mechanically by 93_codegrep.py, which reads each paper's code and reads off the two variables of its headline meta-analysis regression.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1271, "n_rows_in_harmonised_table": 1271, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0223, "audit_status": "code_traced" }, { "id": "class", "paper": { "title": "Publication Bias and Model Uncertainty in Measuring the Effect of Class Size on Achievement", "page_title": "Class Size and Student Achievement: A Meta-Analysis", "literature": "Class Size and Student Achievement", "authors": [ "Matej Opatrny", "Tomas Havranek", "Zuzana Irsova", "Milan Scasny" ], "year": 2025, "journal": "Journal of Labor Economics", "doi": "https://doi.org/10.1086/737989", "url": "https://meta-analysis.cz/class/" }, "description": "A meta-analysis of 2,819 estimates from 66 studies finds little publication bias and a negligible class size effect on student achievement.", "n_estimates": 2906, "n_variables": 67, "n_estimates_in_literature": 2819, "source_file": "https://meta-analysis.cz/class/class.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/class/class.parquet", "csv": "https://meta-analysis.cz/data/v1/class/class.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/class.json" }, "core_columns": { "effect": "pcc", "standard_error": "se_pcc", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "partial correlation coefficient", "direction_note": null, "column_mapping_verified_by": "The paper's own replication code regresses pcc_w/se_pcc_w @ class.do:737 -- a winsorised copy of this pair, built inside the script from the raw columns. The published file carries only the raw columns, so they are what the harmonised table can offer. Found mechanically by 93_codegrep.py.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 2819, "n_rows_in_harmonised_table": 2819, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0211, "audit_status": "code_traced" }, { "id": "climate", "paper": { "title": "Publication Bias in Measuring Anthropogenic Climate Change", "page_title": "Publication Bias in Measuring Anthropogenic Climate Change", "literature": "Anthropogenic Climate Change", "authors": [ "Dominika Reckova", "Zuzana Irsova" ], "year": 2015, "journal": "Energy and Environment", "doi": "https://doi.org/10.1260/0958-305x.26.5.853", "url": "https://meta-analysis.cz/climate/" }, "description": "Meta-analysis of 48 estimates finds publication bias inflates climate sensitivity; corrected range is 1.4-2.3°C.", "n_estimates": 48, "n_variables": 27, "n_estimates_in_literature": 48, "source_file": "https://meta-analysis.cz/climate/climate.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/climate/climate.parquet", "csv": "https://meta-analysis.cz/data/v1/climate/climate.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/climate.json" }, "core_columns": { "effect": "estimate", "standard_error": "se_low", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "degrees Celsius", "direction_note": null, "column_mapping_verified_by": "climate.do builds prec=1/se_low and runs all FAT-PET and funnel regressions on se_low; se_up appears only in one robustness line", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 48, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.6516, "audit_status": "domain_reviewed" }, { "id": "competition", "paper": { "title": "Bank Competition and Financial Stability: Much Ado About Nothing?", "page_title": "Bank Competition and Financial Stability: Much Ado About Nothing?", "literature": "Bank Competition and Financial Stability", "authors": [ "Diana Zigraiova", "Tomas Havranek" ], "year": 2016, "journal": "Journal of Economic Surveys", "doi": "https://doi.org/10.1111/joes.12131", "url": "https://meta-analysis.cz/competition/" }, "description": "A meta-analysis of 598 estimates from 31 studies finding little relationship between bank competition and financial stability.", "n_estimates": 598, "n_variables": 39, "n_estimates_in_literature": 598, "source_file": "https://meta-analysis.cz/competition/competition.xlsx", "source_member": null, "source_sheet": "List1", "files": { "parquet": "https://meta-analysis.cz/data/v1/competition/competition.parquet", "csv": "https://meta-analysis.cz/data/v1/competition/competition.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/competition.json" }, "core_columns": { "effect": "PCC", "standard_error": "SE PCC", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "partial correlation coefficient", "direction_note": null, "column_mapping_verified_by": "Our column is literally named 'SE PCC' (with a space) and competition.do:38 regresses PCC on SEPCC -- the same column, the spacing differs between the spreadsheet header and the Stata name.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 598, "n_rows_in_harmonised_table": 598, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0162, "audit_status": "code_traced" }, { "id": "discrate", "paper": { "title": "Individual Discount Rates: A Meta-Analysis of Experimental Evidence", "page_title": "Individual Discount Rates: A Meta-Analysis of Experimental Evidence", "literature": "Individual Discount Rates", "authors": [ "Jindrich Matousek", "Tomas Havranek", "Zuzana Irsova" ], "year": 2022, "journal": "Experimental Economics", "doi": "https://doi.org/10.1007/s10683-021-09716-9", "url": "https://meta-analysis.cz/discrate/" }, "description": "Meta-analysis of experimental discount-rate estimates finds publication bias and a corrected mean annual rate of 0.33.", "n_estimates": 927, "n_variables": 38, "n_estimates_in_literature": 539, "source_file": "https://meta-analysis.cz/discrate/discrate.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/discrate/discrate.parquet", "csv": "https://meta-analysis.cz/data/v1/discrate/discrate.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/discrate.json" }, "core_columns": { "effect": "discrate", "standard_error": "standard_error", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "annual discount rate", "direction_note": null, "column_mapping_verified_by": "discrate.do line 10 destrings standard_error; lines 204-208 are the paper's own 'PET robust check' using standard_error_win if !missing(standard_error), which reproduces this 539-of-927 subset exactly. Also verified there that sample_size == ln(nobs) for all 927 rows, which is why n_obs maps to nobs and not to sample_size.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 539, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.2264, "audit_status": "domain_reviewed" }, { "id": "dst", "paper": { "title": "Does Daylight Saving Save Electricity? A Meta-Analysis", "page_title": "Does Daylight Saving Save Electricity? A Meta-Analysis", "literature": "Daylight Saving and Electricity Use", "authors": [ "Tomas Havranek", "Dominik Herman", "Zuzana Irsova" ], "year": 2018, "journal": "Energy Journal", "doi": "https://doi.org/10.5547/01956574.39.2.thav", "url": "https://meta-analysis.cz/dst/" }, "description": "A meta-analysis of 162 estimates from 44 studies finds daylight saving time saves essentially no electricity: 0.01% after correction, against a 0.34% simple average of reported estimates.", "n_estimates": 162, "n_variables": 36, "n_estimates_in_literature": 101, "source_file": "https://meta-analysis.cz/dst/dst.xlsx", "source_member": null, "source_sheet": "STATA", "files": { "parquet": "https://meta-analysis.cz/data/v1/dst/dst.parquet", "csv": "https://meta-analysis.cz/data/v1/dst/dst.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/dst.json" }, "core_columns": { "effect": "ESTIMATE", "standard_error": "SE", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "percent", "direction_note": "SIGN TRAP: the stored value is the impact on electricity CONSUMPTION, so NEGATIVE means savings and is the favourable direction (median -0.40). The abstract instead frames the headline as a positive magnitude, 'slight electricity savings: 0.34%'. Taking the sign at face value inverts the finding.", "column_mapping_verified_by": "dst.do labels ESTIMATE 'Estimate of the DST impact (in %)' and runs 'ivreg2 ESTIMATE SE, cluster(...)' as its main FAT-PET regression. 101 of 162 rows have ESTIMATE, SE, TSTAT and PRECISION jointly non-null; the other 61 have all four blank, so the loss is a genuinely unreported standard error, not a column choice.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 162, "n_rows_in_harmonised_table": 101, "note": "-61 rows against the paper's count, usually because the published file has no usable standard error on the remainder. See this dataset's note and column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.5033, "audit_status": "domain_reviewed" }, { "id": "education", "paper": { "title": "Tuition Fees and University Enrolment: A Meta-Regression Analysis", "page_title": "Publication Bias in Measuring the Impact of Tuition on Enrollment", "literature": "Tuition and Demand for Higher Education", "authors": [ "Tomas Havranek", "Zuzana Irsova", "Olesia Zeynalova" ], "year": 2018, "journal": "Oxford Bulletin of Economics and Statistics", "doi": "https://doi.org/10.1111/obes.12240", "url": "https://meta-analysis.cz/education/" }, "description": "Meta-analysis of 443 estimates finds the tuition-enrollment elasticity is near zero once publication bias is corrected.", "n_estimates": 442, "n_variables": 50, "n_estimates_in_literature": 442, "source_file": "https://meta-analysis.cz/education/education.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/education/education.parquet", "csv": "https://meta-analysis.cz/data/v1/education/education.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/education.json" }, "core_columns": { "effect": "pcc", "standard_error": "pcc_se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "partial correlation coefficient", "direction_note": null, "column_mapping_verified_by": "The paper's own replication code regresses exactly this pair at education.do:58. Found mechanically by 93_codegrep.py, which reads each paper's code and reads off the two variables of its headline meta-analysis regression.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 443, "n_rows_in_harmonised_table": 442, "note": "-1 rows against the paper's count, usually because the published file has no usable standard error on the remainder. See this dataset's note and column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.018, "audit_status": "code_traced" }, { "id": "eis", "paper": { "title": "Measuring Intertemporal Substitution: The Importance of Method Choices and Selective Reporting", "page_title": "Publication Bias in Measuring Intertemporal Substitution", "literature": "Elasticity of Intertemporal Substitution", "authors": [ "Tomas Havranek" ], "year": 2015, "journal": "Journal of the European Economic Association", "doi": "https://doi.org/10.1111/jeea.12133", "url": "https://meta-analysis.cz/eis/" }, "description": "Meta-analysis of 2,735 EIS estimates finds strong selective reporting inflates the elasticity of intertemporal substitution.", "n_estimates": 2735, "n_variables": 52, "n_estimates_in_literature": 2735, "source_file": "https://meta-analysis.cz/eis/eis.zip", "source_member": "eis/eis.dta", "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/eis/eis.parquet", "csv": "https://meta-analysis.cz/data/v1/eis/eis.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/eis.json" }, "core_columns": { "effect": "eis", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": null, "column_mapping_verified_by": "eis.do line 106 restricts DESCRIPTIVE statistics to abs(eis)<10; the regressions use all 2,735 rows with prec=1/se.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 2735, "n_rows_in_harmonised_table": 2735, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.2785, "audit_status": "domain_reviewed" }, { "id": "electricity", "paper": { "title": "Electricity demand has not become more price-responsive despite ninety years of technological change", "page_title": "Price Elasticity of Electricity Demand: A Meta-Analysis", "literature": "Price Elasticity of Electricity Demand", "authors": [ "Peter Kudela", "Tomas Havranek", "Zuzana Irsova", "Anna Kudelova", "Vojtech Sikl" ], "year": 2026, "journal": null, "doi": null, "url": "https://meta-analysis.cz/electricity/" }, "description": "Meta-analysis of the price elasticity of electricity demand: no increase in price responsiveness despite ninety years of technological change.", "n_estimates": 4720, "n_variables": 72, "n_estimates_in_literature": 3324, "source_file": "https://meta-analysis.cz/electricity/electricity.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/electricity/electricity.parquet", "csv": "https://meta-analysis.cz/data/v1/electricity/electricity.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/electricity.json" }, "core_columns": { "effect": "effect_M", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": "Marshallian-equivalent price elasticity (the paper's Slutsky-converted effect_M), negative by convention. Pools short-, intermediate- and long-run estimates, which the paper analyses separately; condition on the run-length flags in the per-dataset file rather than pooling blind.", "column_mapping_verified_by": "electricity.R line 74 defines the analysis sample as in_M_pool==1 & formula==1 & is.finite(effect_M) & se_source!='imputed_uniform_t', and its own header comment states this is 3,324 of the 4,720 usable-SE corpus. Reproduced exactly. effect_M is the Slutsky-converted Marshallian-equivalent measure the paper analyses; it correlates 0.9998 with the raw effect on this sample.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 3324, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 1.0, "audit_status": "domain_reviewed" }, { "id": "esg", "paper": { "title": "Do Female Directors Raise ESG Ratings? A Meta-Analysis", "page_title": "Do Female Directors Raise ESG Ratings? A Meta-Analysis", "literature": "Female Directors and ESG Ratings", "authors": [ "Karolina Hozova", "Tomas Havranek", "Zuzana Irsova" ], "year": 2026, "journal": null, "doi": null, "url": "https://meta-analysis.cz/esg/" }, "description": "Meta-analysis of 533 estimates from 106 studies on whether female board directors raise corporate ESG ratings.", "n_estimates": 533, "n_variables": 65, "n_estimates_in_literature": 533, "source_file": "https://meta-analysis.cz/esg/esg_data.xlsx", "source_member": null, "source_sheet": "Data", "files": { "parquet": "https://meta-analysis.cz/data/v1/esg/esg.parquet", "csv": "https://meta-analysis.cz/data/v1/esg/esg.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/esg.json" }, "core_columns": { "effect": "estimate", "standard_error": "se_estimate", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "ESG rating points", "direction_note": "Points on the Bloomberg/LSEG ESG scale per percentage point of board gender diversity, not a percent change.", "column_mapping_verified_by": "The paper's own replication code regresses exactly this pair at replication.zip:replication_package/Code/esg_code_v5.do:496. Found mechanically by 93_codegrep.py, which reads each paper's code and reads off the two variables of its headline meta-analysis regression.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 533, "n_rows_in_harmonised_table": 533, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.42, "audit_status": "code_traced" }, { "id": "euro", "paper": { "title": "Rose Effect and the Euro: Is the Magic Gone?", "page_title": "A Meta-Analysis of the Trade Effect of the Euro", "literature": "Euro Adoption and Trade", "authors": [ "Tomas Havranek" ], "year": 2010, "journal": "Review of World Economics", "doi": "https://doi.org/10.1007/s10290-010-0050-1", "url": "https://meta-analysis.cz/euro/" }, "description": "Meta-analysis finds the euro's trade-promoting effect is insignificant once publication bias is corrected for.", "n_estimates": 61, "n_variables": 48, "n_estimates_in_literature": 61, "source_file": "https://meta-analysis.cz/euro/data.zip", "source_member": "trade_meta.dta", "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/euro/euro.parquet", "csv": "https://meta-analysis.cz/data/v1/euro/euro.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/euro.json" }, "core_columns": { "effect": "gamma", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "semi-elasticity", "direction_note": "Raw gravity-model coefficient on the currency-union dummy; the headline trade effect is a transform of it.", "column_mapping_verified_by": "The paper's own replication code regresses exactly this pair at data.zip:trade_meta.do:16. Found mechanically by 93_codegrep.py, which reads each paper's code and reads off the two variables of its headline meta-analysis regression.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 61, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.3895, "audit_status": "code_traced" }, { "id": "excess_sensitivity", "paper": { "title": "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'", "page_title": "A Meta-Analysis of the Excess Sensitivity of Consumption to Anticipated Income Changes", "literature": "Excess Sensitivity of Consumption", "authors": [ "Tomas Havranek", "Anna Sokolova" ], "year": 2020, "journal": "Review of Economic Dynamics", "doi": "https://doi.org/10.1016/j.red.2019.05.004", "url": "https://meta-analysis.cz/excess_sensitivity/" }, "description": "Meta-analysis of 144 studies finds little excess sensitivity of consumption once micro data, publication bias, and liquidity constraints are addressed.", "n_estimates": 3127, "n_variables": 75, "n_estimates_in_literature": 3127, "source_file": "https://meta-analysis.cz/excess_sensitivity/data_code.zip", "source_member": "excess.dta", "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/excess_sensitivity/excess_sensitivity.parquet", "csv": "https://meta-analysis.cz/data/v1/excess_sensitivity/excess_sensitivity.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/excess_sensitivity.json" }, "core_columns": { "effect": "excess", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "regression coefficient", "direction_note": null, "column_mapping_verified_by": "excess.do lines 14-15: 'gen prec=1/se' and 'gen tstat=excess/se', used through the funnel-asymmetry regressions (e.g. 'ivreg2 excess se if micro==1'). All 3,127 rows carry both. The separate mpc/mpc_se pair is a different estimand and is excluded by the paper's own BMA export.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 3127, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.1872, "audit_status": "domain_reviewed" }, { "id": "fdi", "paper": { "title": "Foreign Capital and Domestic Productivity in the Czech Republic: A Meta-Regression Analysis", "page_title": "Foreign Capital and Domestic Productivity in the Czech Republic: A Meta-Regression Analysis", "literature": "FDI Spillovers in the Czech Republic", "authors": [ "Mojmir Hampl", "Tomas Havranek", "Zuzana Irsova" ], "year": 2020, "journal": "Applied Economics", "doi": "https://doi.org/10.1080/00036846.2020.1726864", "url": "https://meta-analysis.cz/fdi/" }, "description": "Meta-analysis of 332 estimates finds FDI spillovers raise Czech domestic firm productivity, larger for joint ventures.", "n_estimates": 332, "n_variables": 23, "n_estimates_in_literature": 332, "source_file": "https://meta-analysis.cz/fdi/spillovers.zip", "source_member": "spillovers.dta", "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/fdi/fdi.parquet", "csv": "https://meta-analysis.cz/data/v1/fdi/fdi.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/fdi.json" }, "core_columns": { "effect": null, "standard_error": null, "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": "Winsorised FDI spillover elasticity (e_w). No standard error exists in the file, so this dataset supports model averaging over study characteristics but not SE-based synthesis.", "column_mapping_verified_by": "spillovers.R uses e_w (winsorized spillover elasticity) as the response in a Bayesian model averaging regression over moderators; the zip contains only that script and the data. No_of_firms is a log-scaled moderator, not a recoverable N", "in_harmonised_table": false, "reconciliation": { "n_estimates_reported_in_paper": 332, "n_rows_in_harmonised_table": null, "note": null }, "excluded_from_harmonised_because": "no per-estimate precision exists: the file has no standard error, t-statistic, weight or inverse-SE column, so SE-based synthesis is impossible", "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": null, "audit_status": "excluded_no_precision" }, { "id": "forward", "paper": { "title": "How Puzzling Is the Forward Premium Puzzle? A Meta-Analysis", "page_title": "How Puzzling Is the Forward Premium Puzzle? A Meta-Analysis", "literature": "Forward Premium Puzzle", "authors": [ "Diana Zigraiova", "Tomas Havranek", "Zuzana Irsova", "Jiri Novak" ], "year": 2021, "journal": "European Economic Review", "doi": "https://doi.org/10.1016/j.euroecorev.2021.103714", "url": "https://meta-analysis.cz/forward/" }, "description": "Meta-analysis of 3,643 estimates from 91 studies finds forward rate unbiasedness holds better than commonly thought once biases are corrected.", "n_estimates": 3643, "n_variables": 82, "n_estimates_in_literature": 3643, "source_file": "https://meta-analysis.cz/forward/forward.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/forward/forward.parquet", "csv": "https://meta-analysis.cz/data/v1/forward/forward.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/forward.json" }, "core_columns": { "effect": "Coeff", "standard_error": "SE", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "regression coefficient", "direction_note": "The null of interest is a slope of 1, not 0. Testing against zero will mislead.", "column_mapping_verified_by": "forward.do runs 'sum beta se' immediately after loading; T and N reproduce ln(Sample_size), so neither is a t-statistic", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 3643, "n_rows_in_harmonised_table": 3643, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.1404, "audit_status": "domain_reviewed" }, { "id": "frisch", "paper": { "title": "Intertemporal Substitution in Labor Supply: A Meta-Analysis", "page_title": "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply", "literature": "Intertemporal Substitution in Labor Supply", "authors": [ "Ali Elminejad", "Tomas Havranek", "Roman Horvath", "Zuzana Irsova" ], "year": 2023, "journal": "Review of Economic Dynamics", "doi": "https://doi.org/10.1016/j.red.2023.10.001", "url": "https://meta-analysis.cz/frisch/" }, "description": "Meta-analysis of over 700 estimates finds publication bias inflates the Frisch labor supply elasticity, with a corrected total hours elasticity near 0.25.", "n_estimates": 723, "n_variables": 49, "n_estimates_in_literature": 532, "source_file": "https://meta-analysis.cz/frisch/frisch.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/frisch/frisch.parquet", "csv": "https://meta-analysis.cz/data/v1/frisch/frisch.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/frisch.json" }, "core_columns": { "effect": "frisch", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": null, "column_mapping_verified_by": "frisch.do: 'gen tstat = frisch/se' and 'winsor2 frisch se, cuts(5 95)' confirm frisch/se as the analysis columns. 532 of 723 rows have a usable standard error (538 non-missing, less 6 zeros). The paper imputes the remainder from a per-study bootstrap rather than dropping them; that input was not published, so they are excluded here rather than filled.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 700, "n_rows_in_harmonised_table": 532, "note": "-168 rows against the paper's count, usually because the published file has no usable standard error on the remainder. See this dataset's note and column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.4466, "audit_status": "domain_reviewed" }, { "id": "gasoline", "paper": { "title": "Income Elasticity of Gasoline Demand: A Meta-Analysis", "page_title": "A Meta-Analysis of the Income Elasticity of Gasoline Demand", "literature": "Income Elasticity of Gasoline Demand", "authors": [ "Tomas Havranek", "Ondrej Kokes" ], "year": 2015, "journal": "Energy Economics", "doi": "https://doi.org/10.1016/j.eneco.2014.11.004", "url": "https://meta-analysis.cz/gasoline/" }, "description": "Meta-regression corrects for publication bias, finding gasoline demand income elasticity of 0.1 short run and 0.23 long run.", "n_estimates": 701, "n_variables": 32, "n_estimates_in_literature": 701, "source_file": "https://meta-analysis.cz/gasoline/data.zip", "source_member": "gas_income_revision.dta", "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/gasoline/gasoline.parquet", "csv": "https://meta-analysis.cz/data/v1/gasoline/gasoline.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/gasoline.json" }, "core_columns": { "effect": "e", "standard_error": null, "standard_error_note": "", "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": "Long-run income elasticity only; see the dataset note for the short-run estimates. CAUTION on n_obs: it is the file's Observations column, which init.do weights by as sqrt(Observations), but 90 of 701 rows record 1, which is not a plausible sample size and may be a missing-value code. Filter before using n_obs as a precision instrument.", "column_mapping_verified_by": "init.do generates se as abs(e/tstat), which is reproduced here. gas_income_revision.dta's 'e' equals mra-data.dta's Ystat exactly (n=701, mean 0.6589), matching the abstract's long-run figure.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 701, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0692, "audit_status": "domain_reviewed" }, { "id": "gasoline_price", "paper": { "title": "Demand for Gasoline is More Price-Inelastic than Commonly Thought", "page_title": "A Meta-Analysis of the Price Elasticity of Gasoline Demand", "literature": "Price Elasticity of Gasoline Demand", "authors": [ "Tomas Havranek", "Zuzana Irsova", "Karel Janda" ], "year": 2012, "journal": "Energy Economics", "doi": "https://doi.org/10.1016/j.eneco.2011.09.003", "url": "https://meta-analysis.cz/gasoline_price/" }, "description": "Meta-analysis shows published gasoline demand elasticities are exaggerated twofold due to publication selection bias.", "n_estimates": 202, "n_variables": 11, "n_estimates_in_literature": 202, "source_file": "https://meta-analysis.cz/gasoline_price/data.zip", "source_member": "papers_revised.xls", "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/gasoline_price/gasoline_price.parquet", "csv": "https://meta-analysis.cz/data/v1/gasoline_price/gasoline_price.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/gasoline_price.json" }, "core_columns": { "effect": "e", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": "Negative by convention: demand falls as price rises.", "column_mapping_verified_by": "No replication code ships with this dataset, so it was verified against the PAPER'S OWN PUBLISHED RESULTS instead, which validates the whole chain end to end rather than just the column names. The abstract of gas_price.pdf states that after correction the average long-run elasticity reaches -0.31 and the short-run -0.09, and that the published averages are 'exaggerated twofold'. Computing from the shipped e/se and the longr flag: long-run n=92, mean -0.691; short-run n=110, mean -0.227; 92+110=202, the full file. Those means are 2.2x and 2.5x the paper's corrected values, reproducing the twofold exaggeration it reports. FAT is -3.57 and -2.89, confirming the strong publication selection the paper is about, and long-run exceeds short-run in magnitude as it states. Simple PET gives -0.189 and -0.065 against the paper's -0.31 and -0.09; the gap is the estimator, since the paper uses mixed-effects multilevel meta-regression rather than PET. Two internal checks corroborate: e/se reproduces the file's own `t` on 100.0% of all 202 rows, and `prec` equals 1/se on 100.0%. An exhaustive search over every column pair found no rival; the only other combinations reproducing t are t divided by a 0/1 dummy, which returns t. Reviewed 2026-08-04 at the owner's request to close the last unverified literature.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 202, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0602, "audit_status": "domain_reviewed" }, { "id": "habits", "paper": { "title": "Habit Formation in Consumption: A Meta-Analysis", "page_title": "Habit Formation in Consumption: A Meta-Analysis", "literature": "Habit Formation in Consumption", "authors": [ "Tomas Havranek", "Marek Rusnak", "Anna Sokolova" ], "year": 2017, "journal": "European Economic Review", "doi": "https://doi.org/10.1016/j.euroecorev.2017.03.009", "url": "https://meta-analysis.cz/habits/" }, "description": "Meta-analysis of 597 estimates finds habit formation averages 0.4, with macro data yielding larger estimates than micro data.", "n_estimates": 606, "n_variables": 41, "n_estimates_in_literature": 597, "source_file": "https://meta-analysis.cz/habits/habit.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/habits/habits.parquet", "csv": "https://meta-analysis.cz/data/v1/habits/habits.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/habits.json" }, "core_columns": { "effect": "habit", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "habit persistence parameter", "direction_note": "Unitless, normally bounded by 0 (no habit) and 1 (full persistence).", "column_mapping_verified_by": "habit.do applies 'drop if missing(se)' and winsorises the standard error only, with no trimming of habit itself: 606 rows less 9 missing se = 597, matching the abstract's '597 estimates from 81 published studies'. 125 of 597 fall outside the theoretical [0,1] range; the paper neither trims nor remarks on it, and this is known behaviour for GMM/DSGE habit estimates.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 597, "n_rows_in_harmonised_table": 597, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.9986, "audit_status": "domain_reviewed" }, { "id": "hedge", "paper": { "title": "Is research on hedge fund performance published selectively? A quantitative survey", "page_title": "Publication Bias in Hedge Fund Performance: A Meta-Analysis", "literature": "Hedge Fund Performance", "authors": [ "Fan Yang", "Tomas Havranek", "Zuzana Irsova", "Jiri Novak" ], "year": 2024, "journal": "Journal of Economic Surveys", "doi": "https://doi.org/10.1111/joes.12574", "url": "https://meta-analysis.cz/hedge/" }, "description": "Quantitative survey of 1,019 hedge fund alpha estimates from 74 studies finds little evidence of publication selection bias.", "n_estimates": 1019, "n_variables": 29, "n_estimates_in_literature": 1019, "source_file": "https://meta-analysis.cz/hedge/hedge.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/hedge/hedge.parquet", "csv": "https://meta-analysis.cz/data/v1/hedge/hedge.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/hedge.json" }, "core_columns": { "effect": "alpha", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "percent", "direction_note": "Monthly return, not annualised.", "column_mapping_verified_by": "effect, se and study_id are element-wise identical across all 1,019 rows; a pairwise scan of the (effect,se) value multiset over all 41 literatures found this as the only remaining duplicate pair", "in_harmonised_table": false, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": null, "note": null }, "excluded_from_harmonised_because": "duplicate of alphas: identical estimates, row for row", "duplicate_of": "alphas", "overlaps_with": "alphas", "same_literature_as": "alphas", "excluded_to_avoid_double_counting": true, "overlap_kind": "identical row for row", "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": null, "audit_status": "duplicate_excluded", "note": "Two papers on one dataset. 'alphas' is kept because it fills 10 harmonised moderators against hedge's 7, and hedge's set is a strict subset, so nothing is lost. CITE the published version for these estimates: Is research on hedge fund performance published selectively? A quantitative survey, Journal of Economic Surveys 2024 (DOI on the hedge dataset entry). The hedge file remains published in full as its own dataset." }, { "id": "house_prices", "paper": { "title": "When Does Monetary Policy Sway House Prices? A Meta-Analysis", "page_title": "When Does Monetary Policy Sway House Prices? A Meta-Analysis", "literature": "Monetary Policy and House Prices", "authors": [ "Dominika Ehrenbergerova", "Josef Bajzik", "Tomas Havranek" ], "year": 2023, "journal": "IMF Economic Review", "doi": "https://doi.org/10.1057/s41308-022-00185-5", "url": "https://meta-analysis.cz/house_prices/" }, "description": "A meta-analysis of 1,555 estimates from 37 studies across 45 countries finds publication bias exaggerates the effect of interest rates on house prices.", "n_estimates": 1785, "n_variables": 123, "n_estimates_in_literature": 1555, "source_file": "https://meta-analysis.cz/house_prices/house.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/house_prices/house_prices.parquet", "csv": "https://meta-analysis.cz/data/v1/house_prices/house_prices.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/house_prices.json" }, "core_columns": { "effect": "est", "standard_error": "mean of SE_l and SE_u", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "semi-elasticity (proportional)", "direction_note": "Stored as a PROPORTION: house.do multiplies by 100 for the percentages the paper reports. Negative is the expected direction, higher policy rates lowering house prices. One row per impulse-response horizon, so rows within an IRF are not independent.", "column_mapping_verified_by": "house.do rescales est to percent and sets SE=(SE_l+SE_u)/2; seraw is populated on only 40 of 1785 rows. Restricting to inlevels==1 (the paper's own main sample) yields exactly 1,555 usable estimates, matching the abstract; the 126 growths==1 rows are a different specification.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1555, "n_rows_in_harmonised_table": 1555, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.2663, "audit_status": "domain_reviewed" }, { "id": "incentives", "paper": { "title": "Financial Incentives and Performance: A Meta-Analysis of Experiments in Economics", "page_title": "Financial Incentives and Performance: A Meta-Analysis of Experiments in Economics", "literature": "Financial Incentives and Performance", "authors": [ "Petr Cala", "Tomas Havranek", "Zuzana Irsova", "Martina Luskova", "Jindrich Matousek", "Jiri Novak" ], "year": 2026, "journal": "Journal of Political Economy Microeconomics", "doi": "https://doi.org/10.1086/743543", "url": "https://meta-analysis.cz/incentives/" }, "description": "Meta-analysis of 2,193 estimates finds financial incentives have near-zero corrected effect on performance in most field settings.", "n_estimates": 2193, "n_variables": 72, "n_estimates_in_literature": 1252, "source_file": "https://meta-analysis.cz/incentives/incentives.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/incentives/incentives.parquet", "csv": "https://meta-analysis.cz/data/v1/incentives/incentives.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/incentives.json" }, "core_columns": { "effect": "pcc", "standard_error": "se_pcc", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "partial correlation coefficient", "direction_note": "Baseline measure. Cohen's d, the paper's robustness variant, is in the per-dataset file.", "column_mapping_verified_by": "incentives.do lines 57-60 drop include==2 and bma==0 to form the baseline sample. The mean partial correlation on that sample is 0.05118, matching the paper's stated 0.051 exactly (1,252 estimates). The previous mapping used cohens_d unfiltered, which is the paper's ROBUSTNESS dataset, not its baseline: 'For robustness checks, we consider two additional datasets. First, instead of correlations we look at Cohen's d.'", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 2193, "n_rows_in_harmonised_table": 1252, "note": "-941 rows against the abstract's count, and correctly so: the paper's own replication code restricts to an analysis subset, reproduced here. See column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0156, "audit_status": "domain_reviewed" }, { "id": "inflation", "paper": { "title": "Optimal Inflation Rate: A Meta-Analysis", "page_title": "Optimal Inflation Rate: A Meta-Analysis", "literature": "Optimal Inflation Rate", "authors": [ "Matej Opatrny", "Martin Opatrny", "Tomas Havranek", "Zuzana Irsova", "Mojmir Hampl" ], "year": 2026, "journal": null, "doi": null, "url": "https://meta-analysis.cz/inflation/" }, "description": "Meta-analysis of 777 estimates from 116 studies finds an optimal long-run inflation rate near 0.6% per year, below common two-percent central-bank targets.", "n_estimates": 885, "n_variables": 179, "n_estimates_in_literature": 702, "source_file": "https://meta-analysis.cz/inflation/inflation_v34.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/inflation/inflation.parquet", "csv": "https://meta-analysis.cz/data/v1/inflation/inflation.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/inflation.json" }, "core_columns": { "effect": "Estimate_win", "standard_error": "SE_win", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "percentage points", "direction_note": null, "column_mapping_verified_by": "The paper's own replication code regresses exactly this pair at replication.zip:replication_package_FIXED/stata/Inflation_v34.do:391. Found mechanically by 93_codegrep.py, which reads each paper's code and reads off the two variables of its headline meta-analysis regression.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 777, "n_rows_in_harmonised_table": 702, "note": "-75 rows against the paper's count, usually because the published file has no usable standard error on the remainder. See this dataset's note and column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0163, "audit_status": "code_traced" }, { "id": "lags", "paper": { "title": "Transmission Lags of Monetary Policy: A Meta-Analysis", "page_title": "Transmission Lags of Monetary Policy: A Meta-Analysis", "literature": "Transmission Lags of Monetary Policy", "authors": [ "Tomas Havranek", "Marek Rusnak" ], "year": 2013, "journal": "International Journal of Central Banking", "doi": null, "url": "https://meta-analysis.cz/lags/" }, "description": "A meta-analysis of 67 studies finds monetary policy transmission lags average 29 months, longer in developed than transition economies.", "n_estimates": 1519, "n_variables": 151, "n_estimates_in_literature": 1519, "source_file": "https://meta-analysis.cz/lags/lags.zip", "source_member": "lags.xls", "source_sheet": "stata", "files": { "parquet": "https://meta-analysis.cz/data/v1/lags/lags.parquet", "csv": "https://meta-analysis.cz/data/v1/lags/lags.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/lags.json" }, "core_columns": { "effect": "lags", "standard_error": "ci_se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "months", "direction_note": "Transmission lag: months from the monetary shock to the trough of the price response (mon_bot). A duration, not a regression coefficient, so it has no sampling standard error.", "column_mapping_verified_by": "lags.do keeps horizon==99 and models mon_bot directly; the se/up/low on that row belong to the price-response magnitude, not to the lag", "in_harmonised_table": false, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": null, "note": null }, "excluded_from_harmonised_because": "outcome is the transmission lag (mon_bot, months to the price trough); it has no sampling standard error, so it cannot enter an effect/SE table", "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": "price_puzzle", "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": null, "audit_status": "excluded_no_precision", "note": "Shares a source FILE with 'price_puzzle' but uses different columns or rows. A distinct literature, NOT a duplicate, and pooled on its own." }, { "id": "learning", "paper": { "title": "Publication Bias and P-Hacking in the Effect of COVID-19 on Learning", "page_title": "Publication Bias and P-Hacking in the Effect of COVID-19 on Learning: A Meta-Analysis", "literature": "Effect of COVID-19 on Learning", "authors": [ "Martina Luskova", "Nino Buliskeria", "Ali Elminejad", "Tomas Havranek", "Zuzana Irsova", "Stepan Jurajda", "Marek Kapicka" ], "year": 2026, "journal": null, "doi": null, "url": "https://meta-analysis.cz/learning/" }, "description": "Meta-analysis of COVID-19 learning loss: bias-corrected RoBMA and MAIVE estimates converge on about -0.12 SD, roughly 30% of a school year.", "n_estimates": 291, "n_variables": 17, "n_estimates_in_literature": 291, "source_file": "https://meta-analysis.cz/learning/learning_loss_data.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/learning/learning.parquet", "csv": "https://meta-analysis.cz/data/v1/learning/learning.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/learning.json" }, "core_columns": { "effect": "es", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "standardised mean difference", "direction_note": "Negative values are learning LOSS.", "column_mapping_verified_by": "00_setup.R reads the workbook with no sheet argument, so readxl takes the FIRST sheet, which is 'data'. Our picker chose 'Betthauser', a sheet named after a study. The two are byte-identical on the shared columns today, so no number changes, but that identity is coincidental and the reference is pinned to 'data'. ('data_old' is a stale earlier version and must not be used.)", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 291, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.3244, "audit_status": "domain_reviewed" }, { "id": "migrant", "paper": { "title": "The Elasticity of Substitution between Native and Immigrant Labor: A Meta-Analysis", "page_title": "The Elasticity of Substitution between Native and Immigrant Labor: A Meta-Analysis", "literature": "Native and Immigrant Labor Substitution", "authors": [ "Klara Kantova", "Tomas Havranek", "Zuzana Irsova", "Jiri Schwarz" ], "year": 2026, "journal": null, "doi": null, "url": "https://meta-analysis.cz/migrant/" }, "description": "Meta-analysis of 1,091 estimates finds native-immigrant labor substitution elasticity of about 17 under best practice, against an uncorrected mean of 13.", "n_estimates": 1091, "n_variables": 57, "n_estimates_in_literature": 1091, "source_file": "https://meta-analysis.cz/migrant/migrant.xlsx", "source_member": null, "source_sheet": "Sheet1", "files": { "parquet": "https://meta-analysis.cz/data/v1/migrant/migrant.parquet", "csv": "https://meta-analysis.cz/data/v1/migrant/migrant.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/migrant.json" }, "core_columns": { "effect": "elasticity", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "negative inverse elasticity", "direction_note": "The stored value is NOT the elasticity. It is the negative inverse: 88.8% of values are negative with median -0.050, and -1/effect has median 15.38, matching the paper's headline substitution elasticity of 13 to about 22. To recover the elasticity take -1/effect, and convert the standard error by the delta method -- se/effect^2 -- rather than using the stored se unchanged. Do NOT pool this column with the other 'elasticity' literatures. Confirmed 2026-08-04 after the Fable and Codex audits both flagged it.", "column_mapping_verified_by": "The paper's replication is in R, not Stata: run_replication_package.R:1002 runs stats::lm(elasticity ~ se, data = master, weights = se_weight) and clusters on idstudy -- the FAT-PET on exactly this pair. Found by 93_codegrep.py once R patterns were added; a Stata-only scan had reported this literature as having no regression at all.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1091, "n_rows_in_harmonised_table": 1091, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0648, "audit_status": "code_traced" }, { "id": "price_puzzle", "paper": { "title": "How to Solve the Price Puzzle? A Meta-Analysis", "page_title": "How to Solve the Price Puzzle? A Meta-Analysis", "literature": "The Price Puzzle", "authors": [ "Marek Rusnak", "Tomas Havranek", "Roman Horvath" ], "year": 2013, "journal": "Journal of Money, Credit and Banking", "doi": "https://doi.org/10.1111/j.1538-4616.2012.00561.x", "url": "https://meta-analysis.cz/price_puzzle/" }, "description": "Meta-analysis of 1,000 VAR estimates shows the price puzzle stems from model misspecification, not a true price effect.", "n_estimates": 1519, "n_variables": 151, "n_estimates_in_literature": 1415, "source_file": "https://meta-analysis.cz/price_puzzle/puzzle.xls", "source_member": null, "source_sheet": "stata", "files": { "parquet": "https://meta-analysis.cz/data/v1/price_puzzle/price_puzzle.parquet", "csv": "https://meta-analysis.cz/data/v1/price_puzzle/price_puzzle.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/price_puzzle.json" }, "core_columns": { "effect": "res", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "proportional change in the price level", "direction_note": "Stored as a PROPORTION, not a percent: multiply by 100 to read as the paper does (median |effect| 0.002 = 0.2%, consistent with its reported 0.33% trough). Positive values are the puzzling price INCREASE after a monetary contraction; theory expects negative. One row per horizon.", "column_mapping_verified_by": "puzzle.do computes t=res/se and prec=1/se on the long form restricted to horizon in {3,6,12,18,36}; the published file is wide, so the M{h}R / SE{h} pairs are reshaped here to reproduce it. Median |t| is 0.75-0.91 across horizons, consistent with the literature's mostly insignificant responses.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 1415, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": "lags", "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0609, "audit_status": "domain_reviewed", "note": "puzzle.xls is a HYBRID layout: already long on `horizon` (7 rows per impulse response) while the response columns are WIDE and constant across those 7. Melting the wide columns once per row emitted every estimate 7 times -- what 0.9.0-beta shipped: 7,420 rows of which ~6,345 were exact duplicates, identical in every column INCLUDING horizon, so they were never additional horizons. The file provides SEVEN horizons, not five: the month horizons 3/6/12/18/36 plus the trough (MBR/SEB, horizon code 99) and the peak (MPR/SEP, horizon code 88). puzzle.do line 29 excludes `horizon~=88 & horizon~=99` from its 'all horizons' figure and its headline regressions use the five month horizons, so the paper analyses five -- but this catalogue publishes what the file contains, and the trough and peak responses were being silently discarded. All seven are now emitted from the deduplicated records: 1,415 rows (211/218/218/220/208 for the month horizons, 202 trough, 138 peak). Owner's decision 2026-08-04: list every horizon. Anyone wanting the paper's own sample should filter to the five numeric horizons. HORIZON CODES: months 3/6/12/18/36 are literal; 99 marks the trough and 88 the peak, the source file's own codes. The trough/peak assignment is inferred from lags.do, which keeps horizon==99 and models mon_bot, the months to the price trough. If that is backwards the two labels swap and no value changes. Filter to horizon<=36 for the paper's own sample." }, { "id": "reforms", "paper": { "title": "Structural Reforms and Growth in Transition: A Meta-Analysis", "page_title": "Structural Reforms and Economic Growth: A Meta-Analysis", "literature": "Structural Reforms and Economic Growth", "authors": [ "Jan Babecky", "Tomas Havranek" ], "year": 2014, "journal": "Economics of Transition", "doi": "https://doi.org/10.1111/ecot.12029", "url": "https://meta-analysis.cz/reforms/" }, "description": "Meta-analysis of 60 studies finds structural reforms in transition countries carry short-run costs but strong long-run growth benefits.", "n_estimates": 456, "n_variables": 42, "n_estimates_in_literature": 245, "source_file": "https://meta-analysis.cz/reforms/reform.xls", "source_member": null, "source_sheet": "reform", "files": { "parquet": "https://meta-analysis.cz/data/v1/reforms/reforms.parquet", "csv": "https://meta-analysis.cz/data/v1/reforms/reforms.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/reforms.json" }, "core_columns": { "effect": "partial correlation computed from lib and df", "standard_error": "computed as sqrt((1-r^2)/df)", "standard_error_note": "derived, not read from a column", "evidence": "paper's replication code" }, "effect_units": "partial correlation coefficient", "direction_note": "Computed here from the reported t-statistic and degrees of freedom, following the paper's own code.", "column_mapping_verified_by": "reform.do converts lib (a t-statistic, NOT a coefficient) to pcor=lib/sqrt(lib^2+df) with se_pcor=sqrt((1-pcor^2)/df); df=n-k holds exactly on all 456 rows. It then caps lib<12, drops a flagged outlier set defined on the computed correlation ((1/se_pcor)>15 & pcor>0.3 & lib<12) and drops rg==0. Applying all of it gives exactly the 245 short-run coefficients the paper reports.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 245, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0103, "audit_status": "domain_reviewed" }, { "id": "remittances", "paper": { "title": "Remittances and Economic Growth: A Meta-Analysis", "page_title": "Remittances and Economic Growth: A Meta-Analysis", "literature": "Remittances and Economic Growth", "authors": [ "Alina Cazachevici", "Tomas Havranek", "Roman Horvath" ], "year": 2020, "journal": "World Development", "doi": "https://doi.org/10.1016/j.worlddev.2020.105021", "url": "https://meta-analysis.cz/remittances/" }, "description": "Meta-analysis of 538 estimates finds remittances have a small positive, publication-bias-corrected effect on growth, stronger in Asia than Africa.", "n_estimates": 538, "n_variables": 71, "n_estimates_in_literature": 490, "source_file": "https://meta-analysis.cz/remittances/remittances.xlsx", "source_member": null, "source_sheet": "Data", "files": { "parquet": "https://meta-analysis.cz/data/v1/remittances/remittances.parquet", "csv": "https://meta-analysis.cz/data/v1/remittances/remittances.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/remittances.json" }, "core_columns": { "effect": "partial correlation computed from TSTAT_L and DF", "standard_error": "computed as sqrt((1-r^2)/DF)", "standard_error_note": "derived, not read from a column", "evidence": "paper's replication code" }, "effect_units": "partial correlation coefficient", "direction_note": null, "column_mapping_verified_by": "COEF_L/SE_L reproduces TSTAT_L exactly on all 490 usable rows (checked numerically), so the stored pairing is internally correct. remittances.do line 2 shows what the PAPER analyses, and it is not that pair: `gen PCC_L=TSTAT_L/sqrt(TSTAT_L^2+DF)`, with SE_PCC_L=sqrt((1-PCC_L^2)/DF); the headline `mean PCC_L` and `metan PCC_L SE_PCC_L` and the whole BMA section run on PCC_L. The short-run set is an appendix robustness check on 48 observations, not pooled.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 538, "n_rows_in_harmonised_table": 490, "note": "-48 rows against the abstract's count, and correctly so: the paper's own replication code restricts to an analysis subset, reproduced here. See column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0181, "audit_status": "code_traced" }, { "id": "resource_curse", "paper": { "title": "Natural Resources and Economic Growth: A Meta-Analysis", "page_title": "Natural Resources and Economic Growth: A Meta-Analysis", "literature": "Natural Resources and Economic Growth", "authors": [ "Tomas Havranek", "Roman Horvath", "Ayaz Zeynalov" ], "year": 2016, "journal": "World Development", "doi": "https://doi.org/10.1016/j.worlddev.2016.07.016", "url": "https://meta-analysis.cz/resource_curse/" }, "description": "Meta-analysis of 605 estimates finds weak support for the resource curse once publication bias and methods are addressed.", "n_estimates": 605, "n_variables": 112, "n_estimates_in_literature": 605, "source_file": "https://meta-analysis.cz/resource_curse/resource_curse.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/resource_curse/resource_curse.parquet", "csv": "https://meta-analysis.cz/data/v1/resource_curse/resource_curse.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/resource_curse.json" }, "core_columns": { "effect": "PCC", "standard_error": "PCC_SE", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "partial correlation coefficient", "direction_note": null, "column_mapping_verified_by": "The paper's own replication code regresses exactly this pair at resource_curse.do:164. Found mechanically by 93_codegrep.py, which reads each paper's code and reads off the two variables of its headline meta-analysis regression.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 605, "n_rows_in_harmonised_table": 605, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.035, "audit_status": "code_traced" }, { "id": "risk", "paper": { "title": "Relative Risk Aversion: A Meta-Analysis", "page_title": "Relative Risk Aversion: A Meta-Analysis", "literature": "Relative Risk Aversion", "authors": [ "Ali Elminejad", "Tomas Havranek", "Zuzana Irsova" ], "year": 2025, "journal": "Journal of Economic Surveys", "doi": "https://doi.org/10.1111/joes.12689", "url": "https://meta-analysis.cz/risk/" }, "description": "A meta-analysis of 1,021 estimates from 92 studies finds publication-bias-corrected relative risk aversion near 1 in economics and 2-7 in finance.", "n_estimates": 1021, "n_variables": 61, "n_estimates_in_literature": 1018, "source_file": "https://meta-analysis.cz/risk/risk.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/risk/risk.parquet", "csv": "https://meta-analysis.cz/data/v1/risk/risk.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/risk.json" }, "core_columns": { "effect": "rra", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "relative risk aversion coefficient", "direction_note": null, "column_mapping_verified_by": "rra.do (inside risk.zip) lines 104-110 treat rra/se as the pair: `replace se=0.0001 if se==0`, `gen prec = 1/se`, `replace tstat = rra/se if tstat == .`; every downstream meta-analysis traces to it (funnel plot line 192, PET/PEESE lines 211-337, p-uniform* line 705 `keep idstudy rra_win se_win`). BMACode.R line 61 corroborates. risk.dta carries no alternative effect column across its 61 columns, so there is no rejected candidate.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1021, "n_rows_in_harmonised_table": 1018, "note": "-3 rows against the paper's count, usually because the published file has no usable standard error on the remainder. See this dataset's note and column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.3088, "audit_status": "code_traced" }, { "id": "scc", "paper": { "title": "Selective Reporting and the Social Cost of Carbon", "page_title": "Selective Reporting and the Social Cost of Carbon", "literature": "Social Cost of Carbon", "authors": [ "Tomas Havranek", "Zuzana Irsova", "Karel Janda", "David Zilberman" ], "year": 2015, "journal": "Energy Economics", "doi": "https://doi.org/10.1016/j.eneco.2015.08.009", "url": "https://meta-analysis.cz/scc/" }, "description": "Meta-analysis of 809 SCC estimates from 101 studies finds selective reporting creates an upward bias, especially in peer-reviewed journals.", "n_estimates": 1144, "n_variables": 36, "n_estimates_in_literature": 602, "source_file": "https://meta-analysis.cz/scc/scc.xlsx", "source_member": null, "source_sheet": "stata", "files": { "parquet": "https://meta-analysis.cz/data/v1/scc/scc.parquet", "csv": "https://meta-analysis.cz/data/v1/scc/scc.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/scc.json" }, "core_columns": { "effect": "scc", "standard_error": "stdlow", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "US dollars per tonne of carbon", "direction_note": null, "column_mapping_verified_by": "scc.do labels stdlow 'Standard error' and runs the funnel-asymmetry regression 'reg scc stdlow'; stdup is an alternative built from the upper CI bound for robustness", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 809, "n_rows_in_harmonised_table": 602, "note": "-207 rows against the paper's count, usually because the published file has no usable standard error on the remainder. See this dataset's note and column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.1789, "audit_status": "domain_reviewed" }, { "id": "sigma", "paper": { "title": "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias", "page_title": "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias", "literature": "Capital-Labor Substitution", "authors": [ "Sebastian Gechert", "Tomas Havranek", "Zuzana Irsova", "Dominika Kolcunova" ], "year": 2022, "journal": "Review of Economic Dynamics", "doi": "https://doi.org/10.1016/j.red.2021.05.003", "url": "https://meta-analysis.cz/sigma/" }, "description": "Meta-analysis of 3,186 estimates from 121 studies finds the capital-labor elasticity of substitution is 0.3, far below the literature's average of 0.9.", "n_estimates": 3186, "n_variables": 115, "n_estimates_in_literature": 3186, "source_file": "https://meta-analysis.cz/sigma/sigma.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/sigma/sigma.parquet", "csv": "https://meta-analysis.cz/data/v1/sigma/sigma.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/sigma.json" }, "core_columns": { "effect": "sigma", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": null, "column_mapping_verified_by": "sigma.do line 28 `gen tstat = sigma/se` establishes the pair; line 202 runs the headline FAT-PET `ivreg2 sigma_win5 se_win5, cluster (idstudy idcountry)` on winsorised versions built at line 83 by `winsor2 sigma se invsqrtnobs, suffix(_win5) cuts(5 95)`. The paper states it winsorises at the 5% level. sigma.dta contains sigma and se but NOT sigma_win5/se_win5, so the raw pair is the only thing the source offers.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 3186, "n_rows_in_harmonised_table": 3186, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0502, "audit_status": "code_traced" }, { "id": "size", "paper": { "title": "Firm Size and Stock Returns: A Quantitative Survey", "page_title": "A Meta-Analysis of the Relation Between Firm Size and Stock Returns", "literature": "Firm Size and Stock Returns", "authors": [ "Anton Astakhov", "Tomas Havranek", "Jiri Novak" ], "year": 2019, "journal": "Journal of Economic Surveys", "doi": "https://doi.org/10.1111/joes.12335", "url": "https://meta-analysis.cz/size/" }, "description": "First meta-analysis of the size premium finds strong publication bias and a corrected effect of 1.72% in annual returns.", "n_estimates": 1746, "n_variables": 407, "n_estimates_in_literature": 1631, "source_file": "https://meta-analysis.cz/size/size.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/size/size.parquet", "csv": "https://meta-analysis.cz/data/v1/size/size.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/size.json" }, "core_columns": { "effect": "size", "standard_error": "se_calc", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "percent", "direction_note": "Raw size-return slopes: NEGATIVE means a larger conventional size premium, i.e. small firms outperforming. The abstract states that researchers prefer estimates showing 'a negative relation between size and returns'. 76% of stored effects are negative. Do not read positive as the premium.", "column_mapping_verified_by": "size.do regresses size on se, but se_calc is the column that reproduces the file's OWN tstat: 100.0% of rows within 1%, against 96.7% for se. We take se_calc for internal consistency (t = effect/se holds exactly), accepting that it is not the column the paper's regression names. se_calc also contains zeros, which the se>0 filter drops.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 1746, "n_rows_in_harmonised_table": 1631, "note": "-115 rows against the paper's count, usually because the published file has no usable standard error on the remainder. See this dataset's note and column_mapping_verified_by." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.477, "audit_status": "code_traced" }, { "id": "skill", "paper": { "title": "Publication and Attenuation Biases in Measuring Skill Substitution", "page_title": "Publication and Attenuation Biases in Measuring Skill Substitution", "literature": "Skilled-Unskilled Labor Substitution", "authors": [ "Tomas Havranek", "Zuzana Irsova", "Lubica Laslopova", "Olesia Zeynalova" ], "year": 2024, "journal": "Review of Economics and Statistics", "doi": "https://doi.org/10.1162/rest_a_01227", "url": "https://meta-analysis.cz/skill/" }, "description": "Meta-analysis finds publication bias dominates in skill substitution estimates, implying a mean elasticity of 4.", "n_estimates": 1097, "n_variables": 50, "n_estimates_in_literature": 965, "source_file": "https://meta-analysis.cz/skill/skill.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/skill/skill.parquet", "csv": "https://meta-analysis.cz/data/v1/skill/skill.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/skill.json" }, "core_columns": { "effect": "elasticity", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": "Stored as inverse elasticities; inversion is needed to read them as the skill-substitution elasticity. Dropping this step reverses the finding. OPEN QUESTION, not resolved: two independent audits suggested this column is an inverse elasticity, on the grounds that PET on the stored scale is 0.326 whose reciprocal 3.07 is near the paper's headline of 4. That is a PET-level inference, and it does not hold row-wise -- the stored median is 1.42 and 1/1.42 = 0.70, nowhere near 4, with only 7.9% of values negative. So the simple inversion that demonstrably applies to `migrant` does NOT apply here. Units are left as 'elasticity' because relabelling on an unverified inference would be worse than the uncertainty. Settling it needs the paper's own transformation.", "column_mapping_verified_by": "skill.do:174 regresses tstat_coefficient_w on precision_coefficient_w, the WLS form of FAT-PET. Regressing t on precision is algebraically the same test as regressing the effect on its standard error, so it confirms rather than contradicts elasticity/se.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 965, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0555, "audit_status": "code_traced" }, { "id": "spillovers", "paper": { "title": "Estimating Vertical Spillovers from FDI: Why Results Vary and What the True Effect Is", "page_title": "A Meta-Analysis of Vertical Spillovers from FDI", "literature": "Vertical Spillovers from FDI", "authors": [ "Tomas Havranek", "Zuzana Irsova" ], "year": 2011, "journal": "Journal of International Economics", "doi": "https://doi.org/10.1016/j.jinteco.2011.07.004", "url": "https://meta-analysis.cz/spillovers/" }, "description": "A meta-analysis of 3,626 estimates finds vertical FDI spillovers to suppliers are economically significant but spillovers to buyers small.", "n_estimates": 4147, "n_variables": 98, "n_estimates_in_literature": 2421, "source_file": "https://meta-analysis.cz/spillovers/data.xls", "source_member": null, "source_sheet": "stata", "files": { "parquet": "https://meta-analysis.cz/data/v1/spillovers/spillovers.parquet", "csv": "https://meta-analysis.cz/data/v1/spillovers/spillovers.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/spillovers.json" }, "core_columns": { "effect": "e", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": null, "column_mapping_verified_by": "Stata_program.do runs 'drop if aux==1' and defines back = (horiz==0 & forw==0) | (horiz==0 & local==1), i.e. the non-horizontal complement", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 3626, "n_rows_in_harmonised_table": 2421, "note": "The filtered count is 2,421 against the abstract's 3,626. The vertical/horizontal split is applied exactly as the paper's code defines it, so the remaining gap is NOT explained by filtering: the published file appears narrower than the sample behind the paper. Unresolved - treat the count as the file's, not the paper's." }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": "bma", "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.9973, "audit_status": "domain_reviewed", "note": "VERTICAL spillovers (forward and backward). CAUTION: the filtered count is 2,421 while the paper's abstract reports 3,626 estimates, so the published file appears to be a subset of the sample behind the paper. Reconcile before relying on the count." }, { "id": "students", "paper": { "title": "Student Employment and Education: A Meta-Analysis", "page_title": "Student Employment and Education: A Meta-Analysis", "literature": "Student Employment and Education", "authors": [ "Katerina Kroupova", "Tomas Havranek", "Zuzana Irsova" ], "year": 2024, "journal": "Economics of Education Review", "doi": "https://doi.org/10.1016/j.econedurev.2024.102539", "url": "https://meta-analysis.cz/students/" }, "description": "Meta-analysis of 861 estimates finds student employment has a negative but economically small effect on educational outcomes.", "n_estimates": 892, "n_variables": 59, "n_estimates_in_literature": 861, "source_file": "https://meta-analysis.cz/students/students.xlsx", "source_member": null, "source_sheet": "data", "files": { "parquet": "https://meta-analysis.cz/data/v1/students/students.parquet", "csv": "https://meta-analysis.cz/data/v1/students/students.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/students.json" }, "core_columns": { "effect": "pcc", "standard_error": "se_pcc", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "partial correlation coefficient", "direction_note": null, "column_mapping_verified_by": "students.do lines 14-16: 'drop if idstudy>69', then drop if missing(pcc) or missing(se_pcc). Applying all three gives exactly 861 estimates from 69 studies, matching the paper. Without the idstudy filter the file yields 872, which is what was published before and was recorded as an unexplained surplus. It was not unexplained; the filter was missed.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": 861, "n_rows_in_harmonised_table": 861, "note": "matches the paper exactly" }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.038, "audit_status": "code_traced" }, { "id": "substitution", "paper": { "title": "Cross-Country Heterogeneity in Intertemporal Substitution", "page_title": "Why Does Intertemporal Substitution Vary Across Countries? A Meta-Analysis", "literature": "Cross-Country Heterogeneity in Intertemporal Substitution", "authors": [ "Tomas Havranek", "Roman Horvath", "Zuzana Irsova", "Marek Rusnak" ], "year": 2015, "journal": "Journal of International Economics", "doi": "https://doi.org/10.1016/j.jinteco.2015.01.012", "url": "https://meta-analysis.cz/substitution/" }, "description": "Meta-analysis of 2,735 estimates across 104 countries links intertemporal substitution to income and stock market participation.", "n_estimates": 2735, "n_variables": 65, "n_estimates_in_literature": 2735, "source_file": "https://meta-analysis.cz/substitution/eis_det.dta", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/substitution/substitution.parquet", "csv": "https://meta-analysis.cz/data/v1/substitution/substitution.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/substitution.json" }, "core_columns": { "effect": "eis", "standard_error": "se", "standard_error_note": null, "evidence": "plausible" }, "effect_units": "elasticity", "direction_note": "Elasticity of intertemporal substitution. Same 2,735 estimates as the eis dataset; this file adds country-level moderators.", "column_mapping_verified_by": null, "in_harmonised_table": false, "reconciliation": { "n_estimates_reported_in_paper": 2735, "n_rows_in_harmonised_table": null, "note": null }, "excluded_from_harmonised_because": "duplicate of eis: identical estimates, row for row", "duplicate_of": "eis", "overlaps_with": "eis", "same_literature_as": "eis", "excluded_to_avoid_double_counting": true, "overlap_kind": "identical row for row", "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": null, "audit_status": "duplicate_excluded", "note": "Different PAPER (why intertemporal substitution varies across countries) but the same underlying estimates as 'eis', so including both would double count. The substitution file carries 65 columns against eis's 52, including country-level moderators, and remains published in full as its own dataset. Both projects fill the same 18 harmonised moderators, so the choice of which to keep costs nothing; eis is kept as the already-canonical entry." }, { "id": "trust", "paper": { "title": "Trust, Rule of Law, and the Size Premium: Evidence from a Meta-Analysis", "page_title": "Trust, Rule of Law, and the Size Premium: Evidence from a Meta-Analysis", "literature": "Trust, Rule of Law, and the Size Premium", "authors": [ "Jiri Schwarz", "Tomas Havranek", "Zuzana Irsova", "Jiri Novak" ], "year": 2026, "journal": null, "doi": null, "url": "https://meta-analysis.cz/trust/" }, "description": "Meta-analysis of 1,613 reported size-premium estimates from 105 studies on how generalized trust and rule of law explain the disagreement across markets.", "n_estimates": 1613, "n_variables": 45, "n_estimates_in_literature": 284, "source_file": "https://meta-analysis.cz/trust/trust_data.csv", "source_member": null, "source_sheet": null, "files": { "parquet": "https://meta-analysis.cz/data/v1/trust/trust.parquet", "csv": "https://meta-analysis.cz/data/v1/trust/trust.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/trust.json" }, "core_columns": { "effect": "size", "standard_error": "se", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "percent", "direction_note": "Raw size-return slopes: more negative means a larger conventional size premium.", "column_mapping_verified_by": "The paper's own replication code regresses this effect column: replication.zip:replication_package/R/04_diagnostics.R:78 runs lm(size ~ trust_index), the paper's research regression rather than a FAT-PET, so only the effect column is informative there -- and it is `size`, the same column (as size_unwinsorized) this dataset resolves to. Confirmed by 93_codegrep.py once excluded datasets were brought into its scope, 2026-08-04.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 284, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": "size", "same_literature_as": "size", "excluded_to_avoid_double_counting": false, "overlap_kind": "same literature, partially overlapping collections", "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.0394, "audit_status": "code_traced" }, { "id": "water", "paper": { "title": "Measuring the Income Elasticity of Water Demand: The Importance of Publication and Endogeneity Biases", "page_title": "Publication Bias in Measuring the Income Elasticity of Water Demand", "literature": "Income Elasticity of Water Demand", "authors": [ "Tomas Havranek", "Zuzana Irsova", "Tomas Vlach" ], "year": 2018, "journal": "Land Economics", "doi": "https://doi.org/10.3368/le.94.2.259", "url": "https://meta-analysis.cz/water/" }, "description": "A meta-analysis finds publication and endogeneity biases inflate reported income elasticities of water demand, with a true elasticity near 0.15.", "n_estimates": 307, "n_variables": 53, "n_estimates_in_literature": 307, "source_file": "https://meta-analysis.cz/water/water.xlsx", "source_member": null, "source_sheet": "dataset", "files": { "parquet": "https://meta-analysis.cz/data/v1/water/water.parquet", "csv": "https://meta-analysis.cz/data/v1/water/water.csv", "codebook": "https://meta-analysis.cz/api/v1/codebooks/water.json" }, "core_columns": { "effect": "incomeelasticity", "standard_error": "standarderror", "standard_error_note": null, "evidence": "paper's replication code" }, "effect_units": "elasticity", "direction_note": null, "column_mapping_verified_by": "water.do line 90 runs the paper's FAT-PET on exactly this pair: `ivreg2 incomeelasticity standarderror, cluster(studyid)`; line 32 `sum incomeelasticity, detail`. The .do header names the paper: INCOME ELASTICITY OF WATER DEMAND. No winsorising or row-dropping is applied to the main regressions (winsor2 is installed at line 10 but never invoked); the only `if` conditions are descriptive subsample splits and one graph-only restriction at line 77. All 307 rows are the analysis sample.", "in_harmonised_table": true, "reconciliation": { "n_estimates_reported_in_paper": null, "n_rows_in_harmonised_table": 307, "note": null }, "excluded_from_harmonised_because": null, "duplicate_of": null, "overlaps_with": null, "same_literature_as": null, "excluded_to_avoid_double_counting": false, "shares_source_file_with": null, "rights_status": "cc-by-4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "rights_note": "CC BY 4.0. Free to use, adapt and redistribute, including commercially and including as training data. The only condition is credit: cite the paper named in this entry.", "max_precision_weight_share": 0.1123, "audit_status": "code_traced" } ] }